Application of Swarm Intelligence Computation Techniques in PID Controller Tuning: A Review

Abstract

AbstractSwarm Intelligence Computation technique is one of the recent and advanced research topic in the field of Artificial Intelligence. This nature –inspired, global optimization technique is used rapidly in various fields , specially it has become one of the most useful method for efficiency improvement of control and distributed optimization aspects. A review study on tuning of PID controller with effective and satisfactory performance analysis via different swarm intelligence computation techniques is presented in this paper. Tuning of PID via traditional methods and genetic algorithm and their limitations in proper tuning, different structure of PID controllers with the objectives for PID tuning and an efficient intelligent PID controller design is presented in the beginning of this paper. Then a brief literature review on PID tuning with different Swarm Intelligence(SI) techniques i.e. Ant Colony Optimization(ACO), Particle Swarm Optimization(PSO), and Bacterial Foraging Optimization Algorithm(BFOA) as well as their advantages and disadvantages in proper tuning is presented in the afterwards . And finally a performance comparison with simulation results of PID tuning via ZN, GA, PSO, BFOA are experimented on four set of system transfer functions and are studied for effective analysis.KeywordsSwarm Intelligence ComputationParticle Swarm Optimization(PSO)Ant Colony Optimization(ACO)Bacterial Foraging Optimization Algorithm(BFOA)PID controller tuning